Evidence map›Paper›PMID 29030364›Full record

ArticleBMJ case reports2017

So near, yet so far: access to safe abortion services remains elusive for poor women in India.

Sudip Bhattacharya, Mohammad Abu Bashar, Amarjeet Singh

Abstract readCase Reports
In one paragraph

Article in BMJ case reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sudip BhattacharyaSchool of Public Health, Department of Community Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Mohammad Abu BasharSchool of Public Health, Department of Community Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID http://orcid.org/0000-0002-0868-8335
Amarjeet SinghSchool of Public Health, Department of Community Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this case study, we describe our experiences with a woman employed as a housemaid who sought unsafe abortion services from a private doctor. This was her sixth pregnancy, after previously giving birth to one son and two daughters and undergoing two induced abortions. Her husband remained opposed to the use of contraception. Initially, she had sought medical termination of pregnancy through a government hospital but was denied because of procedural delays, specifically the non-availability of an ultrasonography report consequent to a lack of proof of identity (ie, the AADHAAR card, a unique identification card for recording biometric and demographic data in India). She finally sought the services of an unqualified private physician and received oral abortifacient agents. Consequently, she was required to seek treatment for bleeding per vaginum from the dispensary staff at a government hospital. We note that many such incidents occur in our daily practice but remain unnoticed and undocumented. Although this patient was eligible for sterilisation (ie, tubectomy), her husband was uncooperative. This case illustrates the lack of decision-making power experienced by Indian women who have a low societal status.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityAbortion, InducedAdultFemaleHumansIndiaPovertyPregnancyUterine HemorrhageWomen's Healthdrugs: endocrine systemglobal healthhealthcare improvement and patient safetymigration and healthprimary care

Identifiers

PMID29030364
PMCPMC5652352

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.